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- Tasks: Lead cloud architecture projects and implement big data solutions using Azure services.
- Company: Join a forward-thinking tech company specializing in cloud solutions and data management.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of cloud technology and make a real impact in data analytics.
- Qualifications: 10 years of experience in cloud architecture and big data; Azure certifications preferred.
- Other info: Ideal for innovative thinkers who thrive in collaborative environments.
The predicted salary is between 43200 - 72000 £ per year.
– 10 years of experience in big data, database and data warehouse architecture and delivery
– Solution/technical architecture in the cloud
– Big Data/analytics/information analysis/database management in the cloud
– IoT/event-driven/microservices in the cloud
– Experience with private and public cloud architectures, pros/cons, and migration considerations.
– Extensive hands-on experience implementing data migration and data processing using Azure services:, Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.
– Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
– Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
-Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus
Nice-to-Have Certifications
– AZ-303: Microsoft Azure Architect Technologies
– AZ-304: Microsoft Azure Architect Design
– DP-200 Implementing an Azure Data Solution
– DP-201 Designing an Azure Data Solution
Nice-to-Have Skills/Qualifications:
– DevOps on an Azure platform
– Experience developing and deploying ETL solutions on Azure
– Strong in Power BI, C##, Spark, PySpark, Unix shell/Perl scripting
– Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
– Multi-cloud experience a plus – Azure, AWS, Google
Professional Skill Requirements
– Proven ability to build, manage and foster a team-oriented environment
– Proven ability to work creatively and analytically in a problem-solving environment
– Desire to work in an information systems environment
– Excellent communication (written and oral) and interpersonal skills
– Excellent leadership and management skills
– Excellent organizational, multi-tasking, and time-management skills
– Proven ability to work independently
Cloud Architect employer: Middleware Talents Ltd
Contact Detail:
Middleware Talents Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect
✨Tip Number 1
Make sure to showcase your extensive hands-on experience with Azure services in your conversations. Highlight specific projects where you implemented data migration or processing using tools like Azure Data Factory or Databricks.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in cloud architecture, especially around big data and analytics. Being able to discuss current industry practices will demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Network with professionals in the field of cloud architecture. Attend meetups or webinars focused on Azure and big data solutions to build connections that could lead to job opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss your experience with multi-cloud environments. If you have worked with AWS or Google Cloud, be ready to explain how those experiences can benefit our team at StudySmarter.
We think you need these skills to ace Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your 10 years of experience in big data, database architecture, and cloud solutions. Emphasize your hands-on experience with Azure services and any relevant certifications.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your technical expertise in cloud architecture and your familiarity with various technologies mentioned in the job description. Use specific examples from your past work to demonstrate your skills.
Highlight Relevant Projects: In your application, include details about specific projects where you implemented data migration or processing using Azure services. This will help illustrate your practical experience and problem-solving abilities.
Showcase Soft Skills: Don't forget to mention your leadership, communication, and organizational skills. These are crucial for the role and should be evident in both your CV and cover letter.
How to prepare for a job interview at Middleware Talents Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure services in detail. Highlight specific projects where you implemented data migration or processing solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Cloud Architectures
Familiarize yourself with both private and public cloud architectures. Be ready to discuss the pros and cons of each, as well as any migration considerations you've encountered in your previous roles.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your ability to work creatively and analytically in a problem-solving environment. Think of situations where you had to troubleshoot issues or optimize processes, and be ready to share these stories.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly and concisely. Be prepared to explain complex technical concepts in a way that is understandable to non-technical stakeholders.
